Semi parametric tress shrinkage regression

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 61

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شناسه ملی سند علمی:

DSAI01_085

تاریخ نمایه سازی: 4 تیر 1403

چکیده مقاله:

Semi-parametric regression models combine elements of parametric and non-parametric regression approaches. Lasso regression, a penalized parametric regression technique, introduces a penalty term to the regression equation to enhance model performance. Regression tree models, a non-parametric approach, partition the data into subsets and build separate models for each subset. By combining these techniques, semi-parametric regression models can capture both linear and non-linear relationships in the data, providing a powerful tool for addressing complex regression problems.

نویسندگان

Mohammadreza Khalvati Fahliayni

Department of Computer Engineering, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University,Bushehr, Iran

Hamid KaramiKabir

Department of Statistics, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran